Evidence map›Paper›PMID 31753098›Full record

ReviewZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2019

[Research advances in the biomarkers of brain damage in preterm infants].

Mei Yao, Shan-Shan Mao

Open access · greenAbstract readReview
In one paragraph

Review in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. [Recent research on the long-term neurodevelopmental outcomes of very preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Mei YaoDepartment of Neurology, Zhejiang University School of Medicine, Hangzhou 310052, China. 6307003@zju.edu.cn.
Shan-Shan Mao
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the survival rate of preterm infants has continually increased with the development of perinatal and neonatal monitoring techniques, the incidence of brain injury in preterm infants has been increasing, resulting in varying degrees of cognitive impairment and movement disorders. Measuring the biomarkers of brain damage is an important means to diagnose brain injury. The biomarkers can be divided into neuroglial damage markers, neuronal damage markers and other markers according to the features of injured cells. The biomarkers widely used in clinical practice include S100B protein, myelin basic protein and neuron-specific enolase. Recent studies have newly discovered a collection of markers that can suggest potential brain injury in preterm infants, such as glial fibrillary acidic protein, neurofilament light chain protein, α-II spectrin breakdown products, chemokines, melatonin and urinary metabolomics. These biomarkers can contribute to the early diagnosis and treatment of preterm brain injury, essential for improving neural development and prognosis. This article reviews the latest research advances in the biomarkers of preterm brain injury, in order to provide evidence for the early diagnosis and treatment of this condition.

Indexed as

Brain InjuriesInfant, PrematureBiomarkersBrainFemaleHumansInfantInfant, NewbornPregnancyS100 Calcium Binding Protein beta SubunitBiomarkersS100 Calcium Binding Protein beta Subunit

Identifiers

PMID31753098
PMCPMC7389299
OpenAlexW2997868404

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.